David McCallie Jr., vice president of medical informatics for Cerner, described some of what makes integrating genomic data into EHRs difficult. First, the genomic data is huge huge and the meaning of data might change as the knowledge base changes, he said. “Also, the data standards are immature and interpretation is difficult and requires expertise.”
Strock said because there will continue to be manual curation of genetics reports, EHR vendors have to facilitate how those fit into work flows. There are many questions about who is responsible for re-interpretation when new knowledge comes out. There are issues of privacy, security and consent models and how all this work is going to be reimbursed, he said.
Extract (emphasis added) from a summary of the “DIGITizE: Displaying and Integrating Genetic Information Through the EHR” event, organised by the Institute of Medicine with a ‘collaborative’ on July 20, at the HL7’s Genomics Policy Conference in Washington, D.C.. Members of the collaborative include Cerner, Epic and Allscripts.